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Brock Noland commented on HIVE-7799: ------------------------------------ When resolved me might consider adding * orc_merge1.q * orc_merge2.q * orc_merge3.q * orc_merge4.q from HIVE-7792. > TRANSFORM failed in transform_ppr1.q[Spark Branch] > -------------------------------------------------- > > Key: HIVE-7799 > URL: https://issues.apache.org/jira/browse/HIVE-7799 > Project: Hive > Issue Type: Bug > Components: Spark > Reporter: Chengxiang Li > Assignee: Chengxiang Li > Labels: Spark-M1 > Attachments: HIVE-7799.1-spark.patch, HIVE-7799.2-spark.patch > > > Here is the exception: > {noformat} > 2014-08-20 01:14:36,594 ERROR executor.Executor (Logging.scala:logError(96)) > - Exception in task 0.0 in stage 1.0 (TID 0) > java.lang.NullPointerException > at > org.apache.hadoop.hive.ql.exec.spark.HiveKVResultCache.next(HiveKVResultCache.java:113) > at > org.apache.hadoop.hive.ql.exec.spark.HiveBaseFunctionResultList$ResultIterator.next(HiveBaseFunctionResultList.java:124) > at > org.apache.hadoop.hive.ql.exec.spark.HiveBaseFunctionResultList$ResultIterator.next(HiveBaseFunctionResultList.java:82) > at > scala.collection.convert.Wrappers$JIteratorWrapper.next(Wrappers.scala:42) > at scala.collection.Iterator$class.foreach(Iterator.scala:727) > at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) > at > org.apache.spark.shuffle.hash.HashShuffleWriter.write(HashShuffleWriter.scala:65) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41) > at org.apache.spark.scheduler.Task.run(Task.scala:54) > at > org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:199) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) > at java.lang.Thread.run(Thread.java:722) > {noformat} > Basically, the cause is that RowContainer is misused(it's not allowed to > write once someone read row from it), i'm trying to figure out whether it's a > hive issue or just in hive on spark mode. -- This message was sent by Atlassian JIRA (v6.2#6252)